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    Method for correlating spectroscopic measurements with digital images of contrast enhanced tissue
    13.
    发明授权
    Method for correlating spectroscopic measurements with digital images of contrast enhanced tissue 有权
    将光谱测量与对比增强组织的数字图像相关联的方法

    公开(公告)号：US07463345B2

    公开(公告)日：2008-12-09

    申请号：US11647195

    申请日：2006-12-29

    申请人： Jeffrey K. Cohen ,  John Maier ,  Robert Schweitzer

    发明人： Jeffrey K. Cohen ,  John Maier ,  Robert Schweitzer

    IPC分类号： G01J3/26

    CPC分类号： G01N21/65 ,  G01J3/0235 ,  G01J3/0264 ,  G01J3/0289 ,  G01J3/0291 ,  G01J3/12 ,  G01J3/2823 ,  G01J3/44 ,  G01N21/6458 ,  G01N21/6486 ,  G01N21/658 ,  G01N2021/6417 ,  G01N2021/6423 ,  G01N2021/656

    摘要： A system and method of correlating Raman measurements with digital images of a treated sample to classify the disease state of the sample. A spectroscopic data set is obtained for the sample positioned in the field of view of a spectroscopic device. Information about the field of view is stored. The sample is removed from the field of view and treated. The treated sample is repositioned in the field of view using the stored information. A digital image of the treated sample is obtained and the spectroscopic data set is linked with the digital image. A database is provided having a plurality of spectroscopic data sets. Each data set is linked to a corresponding digital image, and associated with the known sample. Each corresponding digital image is associated with the known treated samples. The database is searched to identify and match a data set of a known sample and the sample.

    摘要翻译： 将拉曼测量与经处理样品的数字图像相关联以将样品的疾病状态分类的系统和方法。 对于位于分光装置的视野中的样品获得光谱数据集。 存储有关视野的信息。 将样品从视野中移除并进行处理。 使用存储的信息，在视野中重新定位被处理的样品。 获得经处理样品的数字图像，并将光谱数据集与数字图像相连。 提供具有多个光谱数据集的数据库。 每个数据集都链接到相应的数字图像，并与已知样本相关联。 每个相应的数字图像与已知的处理样品相关联。 搜索数据库以识别和匹配已知样本和样本的数据集。

    Method for correlating spectroscopic measurements with digital images of contrast enhanced tissue
    14.
    发明申请
    Method for correlating spectroscopic measurements with digital images of contrast enhanced tissue 有权
    将光谱测量与对比增强组织的数字图像相关联的方法

    公开(公告)号：US20070127022A1

    公开(公告)日：2007-06-07

    申请号：US11647195

    申请日：2006-12-29

    申请人： Jeffrey Cohen ,  John Maier ,  Robert Schweitzer

    发明人： Jeffrey Cohen ,  John Maier ,  Robert Schweitzer

    IPC分类号： G01J3/28

    CPC分类号： G01N21/65 ,  G01J3/0235 ,  G01J3/0264 ,  G01J3/0289 ,  G01J3/0291 ,  G01J3/12 ,  G01J3/2823 ,  G01J3/44 ,  G01N21/6458 ,  G01N21/6486 ,  G01N21/658 ,  G01N2021/6417 ,  G01N2021/6423 ,  G01N2021/656

    摘要： A system and method of correlating Raman measurements with digital images of a treated sample and using this correlation to classify the disease state of the sample. A spectroscopic data set is obtained for the sample positioned in the field of view of a spectroscopic device. The positional information about the field of view is stored. With the sample removed from the field of view, the sample is treated with a contrast enhancing agent. Using the stored positional information for the field of view, the treated sample is repositioned in the spectroscopic device's field of view. A digital image of the treated sample positioned in the field of view is obtained. The spectroscopic data set is linked with the digital image by defining a transformation to map the image spatial coordinates of the digital image to the spectral spatial coordinates of the spectroscopic data. A database having a plurality of spectroscopic data sets, for samples having well characterized pathology, is provided. Each spectroscopic data set is linked to a corresponding digital image, and each spectroscopic data set is associated with the known sample. Each corresponding digital image is associated with the known sample treated with a contrast enhancing agent. For the spectroscopic data set of the sample, the database is searched to identify a spectroscopic data set, of a known sample, matching the sample's spectroscopic data set.

    摘要翻译： 将拉曼测量与处理的样品的数字图像相关联并使用该相关性来分类样品的疾病状态的系统和方法。 对于位于分光装置的视野中的样品获得光谱数据集。 存储关于视场的位置信息。 从样品中取出样品后，用对比度增强剂处理样品。 使用所存储的视场的位置信息，处理的样品在分光装置的视场中重新定位。 获得定位在视场中的被处理样品的数字图像。 通过定义将数字图像的图像空间坐标映射到光谱数据的光谱空间坐标的变换，光谱数据集与数字图像相关联。 提供了具有多个光谱数据集的数据库，用于具有良好表征的病理学的样本。 每个光谱数据集与相应的数字图像相关联，并且每个光谱数据集与已知样本相关联。 每个相应的数字图像与用对比度增强剂处理的已知样品相关联。 对于样本的光谱数据集，搜索数据库以识别与样本的光谱数据集匹配的已知样本的光谱数据集。

    System and method for partitioning chemometric analysis
    18.
    发明授权
    System and method for partitioning chemometric analysis 有权

    公开(公告)号：US10360995B2

    公开(公告)日：2019-07-23

    申请号：US11918486

    申请日：2006-02-23

    申请人： Robert Schweitzer

    发明人： Robert Schweitzer

    IPC分类号： G01N33/48 ,  G01N33/50 ,  G16C20/20 ,  G01N21/359 ,  G01N21/64 ,  G01N21/65 ,  G01N21/3577 ,  G01N21/35

    摘要： In one embodiment, the disclosure relates to a method for conducting a spectral library search to identify an unknown compound by acquiring one or more spectra of the compound; representing each spectrum as a target vector; providing an n-dimensional space having a plurality of partitioned spaces, at least one of the partitioned spaces containing at least one known vector representing a known material; mapping each target vector in one of the plurality of the partitioned spaces to form a mapped partitioned space; identifying one or more known vectors within the mapped partitioned space which approximate the target vector; and identifying the unknown compound by comparing the target vector to the known vectors within the mapped partitioned space which closely approximate the target vector.

    SYSTEM AND METHOD FOR PARTITIONING CHEMOMETRIC ANALYSIS
    19.
    发明申请
    SYSTEM AND METHOD FOR PARTITIONING CHEMOMETRIC ANALYSIS 审中-公开

    公开(公告)号：US20190026439A9

    公开(公告)日：2019-01-24

    申请号：US11918486

    申请日：2006-02-23

    申请人： Robert Schweitzer

    发明人： Robert Schweitzer

    IPC分类号： G06F19/00 ,  G01N21/35

    CPC分类号： G16C20/20 ,  G01N21/35 ,  G01N21/3577 ,  G01N21/359 ,  G01N21/64 ,  G01N21/65

    摘要： In one embodiment, the disclosure relates to a method for conducting a spectral library search to identify an un-known compound by acquiring one or more spectra of the compound; representing each spectrum as a target vector; providing an n-dimensional space having a plurality of partitioned spaces, at least one of the partitioned spaces containing at least one known vector representing a known material; mapping each target vector in one of the plurality of the partitioned spaces to form a mapped partitioned space; identifying one or more known vectors within the mapped partitioned space which approximate the target vector; and identifying the unknown compound by comparing the target vector to the known vectors within the mapped partitioned space which closely approximate the target vector.

    Forensic integrated search technology with instrument weight factor determination
    20.
    发明授权
    Forensic integrated search technology with instrument weight factor determination 有权
    法医综合检索技术与仪器重量因子测定

    公开(公告)号：US08112248B2

    公开(公告)日：2012-02-07

    申请号：US12017445

    申请日：2008-01-22

    申请人： Robert Schweitzer ,  Patrick J. Treado ,  Jason Neiss

    发明人： Robert Schweitzer ,  Patrick J. Treado ,  Jason Neiss

    IPC分类号： G06F17/18 ,  G01N31/00

    CPC分类号： G06K9/00536 ,  G06F19/703 ,  G06F19/709 ,  H01J49/0036

    摘要： A system and method to search spectral databases and to identify unknown materials from multiple spectroscopic data in the databases. The methodology may be substantially automated and is configurable to determine weights to be accorded to spectroscopic data from different spectroscopic data generating instruments for improved identification of unknown materials. Library spectra from known materials are divided into training and validation sets. Initial, instrument-specific weighting factors are determined using a weight grid or weight scale. The training and validation spectra are weighted with the weighting factors and indicator probabilities for various sets of “coarse” weighting factors are determined through an iterative process. The finally-selected set of coarse weighting factors is further “fine tuned” using a weight grid with finer values of weights. The instrument-specific finer weight values may be applied to test data sets (or spectra) of an unknown material as well as to the library spectra from corresponding spectroscopic instruments. Instrument-specific weights for each class of samples may also be computed for additional customization and accuracy.

    摘要翻译： 一种用于搜索光谱数据库并从数据库中的多个光谱数据中识别未知物质的系统和方法。 该方法可以基本上是自动化的，并且可配置为确定要与来自不同光谱数据生成装置的光谱数据一致的权重，以改进未知材料的识别。 已知材料的谱图谱分为训练和验证集。 使用权重网格或权重量表确定初始的仪器特定加权因子。 训练和验证光谱通过加权因子加权，并且通过迭代过程确定各组“粗”加权因子的指标概率。 最终选择的粗加权系数集合使用具有更精确的权重值的权重网格进一步“精细调整”。 仪器特定的更精细的重量值可以应用于未知材料的测试数据集（或光谱）以及来自相应光谱仪的文库光谱。 也可以计算每类样品的仪器特定重量，以获得额外的定制和准确性。